DocumentCode
1843107
Title
The Review of Web Mining in E-Commerce
Author
Yanduo Zhao
Author_Institution
Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2013
fDate
21-23 June 2013
Firstpage
571
Lastpage
574
Abstract
Web data mining is a key tool for e-commerce in such an age of Internet. Due to previous studies, there is no such a mining technology superior to others. Therefore, this paper can give a simplified comprehension of web data mining and indicate the improvement direction of each kind of mining algorithm based on their existing defects. This paper first introduces the main process of data mining, including collect data, preprocess data, store the data, apply data mining technologies and evaluate the result. Then this paper tries to analyze different kinds of data mining technologies and how they are used in e-commerce. Finally, we predict the development trend of web data mining in e-commerce domain.
Keywords
Internet; data mining; electronic commerce; Internet; Web data mining; data collection; data preprocessing; data storage; e-commerce; Algorithm design and analysis; Association rules; Classification algorithms; Data models; Databases; Partitioning algorithms; association rule; development trend; e-commerce oriented; review; visualization; web data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location
Shiyang
Type
conf
DOI
10.1109/ICCIS.2013.158
Filename
6643072
Link To Document